73 datasets found
  1. COVID-19 cases and deaths in Mexico 2025

    • statista.com
    Updated May 12, 2025
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    Statista (2025). COVID-19 cases and deaths in Mexico 2025 [Dataset]. https://www.statista.com/statistics/1107063/mexico-covid-19-cases-deaths/
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    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - May 11, 2025
    Area covered
    Mexico
    Description

    The first case of COVID-19 in Mexico was detected on March 1, 2020. By the end of the year, the total number of confirmed infections had surpassed 1.4 million. Meanwhile, the number of deaths related to the disease was nearing 148,000. On May 11, 2025, the number of cases recorded had reached 7.6 million, while the number of deaths amounted to around 335,000. The relevance of the Omicron variant Omicron, a highly contagious COVID-19 variant, was declared of concern by the World Health Organization (WHO) at the end of November 2021. As the pandemic unfolded, it became the variant with the highest share of COVID-19 cases in the world. In Latin America, countries such as Colombia, Argentina, Brazil, and Mexico were strongly affected. In fact, by 2023 nearly all analyzed sequences within these countries corresponded to an Omicron subvariant. Beyond a health crisis As the COVID-19 pandemic progressed worldwide, the respiratory disease caused by the virus SARS-CoV-2 virus first detected in Wuhan brought considerable economic consequences for countries and households. While Mexico’s gross domestic product (GDP) in current prices declined in 2020 compared to the previous year, a survey conducted among adults during the first months of 2021 showed COVID-19 impacted families mainly through finances and employment, with around one third of households in Mexico reporting an income reduction and the same proportion having at least one household member suffering from the disease.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

  2. COVID-19 cases in Mexico 2023, by state

    • statista.com
    Updated Sep 15, 2023
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    Statista (2023). COVID-19 cases in Mexico 2023, by state [Dataset]. https://www.statista.com/statistics/1109180/mexico-coronavirus-cases-state/
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    Dataset updated
    Sep 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    As of August 2, 2023, Mexico was the third Latin American country with the highest number of confirmed cases of COVID-19, reaching over 7.6 million patients. By federate entity, Mexico City ranked first in number of confirmed cases, with around 1.9 million infections recorded by September 21, 2023. The State of Mexico followed with 760,699 reported cases of the disease.

    The leading cause of death in Mexico in 2020
    In 2020, COVID-19 was the leading cause of death in Mexico. The country reported its first fatal case due to the disease in March 2020. Since then, the number of COVID-19 deaths has increased steadily, reaching 334,336 deaths as of August 2, 2023. These figures place Mexico fifth in the total number of deaths related to COVID worldwide and second in Latin America, just after Brazil.

    Mexico’s vaccination strategy Mexico began its vaccination campaign at the end of December 2020, an immunization strategy that prioritized healthcare workers and those most at risk of developing severe COVID-19, such as the older population. With more than 223 million vaccines administered as of August 14, 2023, Mexico ranked as the Latin American country with the second highest number of applied vaccines, while slightly over three quarters of its population received at least one vaccine dose against the disease by March 2023.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  3. Latest Coronavirus COVID-19 figures for Mexico

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Mexico [Dataset]. https://covid19-today.pages.dev/countries/mexico/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Mexico
    Description

    In past 24 hours, Mexico, North America had N/A new cases, N/A deaths and N/A recoveries.

  4. M

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco

    • ceicdata.com
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    CEICdata.com, Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-jalisco
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 6, 2022 - Aug 17, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco data was reported at 277,335.000 Person in 17 Aug 2022. This records an increase from the previous number of 276,948.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco data is updated daily, averaging 86,289.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 277,335.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 13 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Jalisco data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. Number of Confirmed Cases are based on the state where it is reported.

  5. Covid-19 Data from mexico

    • kaggle.com
    zip
    Updated May 3, 2022
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    TavoGLC (2022). Covid-19 Data from mexico [Dataset]. https://www.kaggle.com/datasets/tavoglc/covid19-data-from-mexico
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    zip(143801999 bytes)Available download formats
    Dataset updated
    May 3, 2022
    Authors
    TavoGLC
    Description

    About

    Contains the positive cases information up to may 2022 from Mexico. Image by the author.

    "Información referente a casos COVID-19 en México " publicado por SALUD del gobierno de Mexico https://datos.gob.mx/busca/dataset/informacion-referente-a-casos-covid-19-en-mexico 01/05/2022

  6. COVID-19 cases in Latin America 2025, by country

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). COVID-19 cases in Latin America 2025, by country [Dataset]. https://www.statista.com/statistics/1101643/latin-america-caribbean-coronavirus-cases/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America, Americas
    Description

    Brazil is the Latin American country affected the most by the COVID-19 pandemic. As of May 2025, the country had reported around 38 million cases. It was followed by Argentina, with approximately ten million confirmed cases of COVID-19. In total, the region had registered more than 83 million diagnosed patients, as well as a growing number of fatal COVID-19 cases. The research marathon Normally, the development of vaccines takes years of research and testing until options are available to the general public. However, with an alarming and threatening situation as that of the COVID-19 pandemic, scientists quickly got on board in a vaccine marathon to develop a safe and effective way to prevent and control the spread of the virus in record time. Over two years after the first cases were reported, the world had around 1,521 drugs and vaccines targeting the COVID-19 disease. As of June 2022, a total of 39 candidates were already launched and countries all over the world had started negotiations and acquisition of the vaccine, along with immunization campaigns. COVID vaccination rates in Latin America As immunization against the spread of the disease continues to progress, regional disparities in vaccination coverage persist. While Brazil, Argentina, and Mexico were among the Latin American nations with the most COVID-19 cases, those that administered the highest number of COVID-19 doses per 100 population are Cuba, Chile, and Peru. Leading the vaccination coverage in the region is the Caribbean nation, with more than 406 COVID-19 vaccines administered per every 100 inhabitants as of January 5, 2024.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  7. T

    Mexico Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, Mexico Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/mexico/coronavirus-cases
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 18, 2020 - May 17, 2023
    Area covered
    Mexico
    Description

    Mexico recorded 7603871 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Mexico reported 334013 Coronavirus Deaths. This dataset includes a chart with historical data for Mexico Coronavirus Cases.

  8. M

    Mexico SALUD: COVID-19: Confirmed Cases: New

    • ceicdata.com
    Updated Mar 15, 2019
    + more versions
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    CEICdata.com (2019). Mexico SALUD: COVID-19: Confirmed Cases: New [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-new
    Explore at:
    Dataset updated
    Mar 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 10, 2022 - Oct 21, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: New data was reported at 0.000 Person in 24 Oct 2022. This stayed constant from the previous number of 0.000 Person for 23 Oct 2022. Mexico SALUD: COVID-19: Confirmed Cases: New data is updated daily, averaging 4,793.500 Person from Feb 2020 (Median) to 24 Oct 2022, with 970 observations. The data reached an all-time high of 60,552.000 Person in 19 Jan 2022 and a record low of 0.000 Person in 24 Oct 2022. Mexico SALUD: COVID-19: Confirmed Cases: New data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. As of Oct 07, cases confirmed by clinical-epidemiological association to COVID-19 are included on the count of Confirmed Cases and Deaths. These cases are suspected cases or those who has symptoms but were unable to have a test or received medical attention before dying.

  9. COVID-19 Mexico Clean & Order by States

    • kaggle.com
    zip
    Updated Sep 18, 2020
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    Andres J Ramos (2020). COVID-19 Mexico Clean & Order by States [Dataset]. https://www.kaggle.com/andresjramos/covid19-mexico-clean-order-by-states
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    zip(410916 bytes)Available download formats
    Dataset updated
    Sep 18, 2020
    Authors
    Andres J Ramos
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico
    Description

    Context

    The data obtained from the Mexico's General Direction of Epidemiology contains multiple information on the current pandemic situation. However, these data are saturated with features that may not be very useful in a predictive analysis.

    Due to this I decided to clean and format the original data and generate a dataset that groups confirmed, dead, recovered and active cases by State, Municipality and Date.

    This is very useful if you want to generate geographically specific models

    Content

    The data set contains the covid cases columns (positive, dead, recovered and active) that are counted by state and municipality.

    I.e

    SateMunicipalityDateDeathsConfirmedrecoveredActive
    Ciudad de MexicoIztapalapa2020-07-18142041
    Ciudad de MexicoIztapalapa2020-07-19014014
    Ciudad de MexicoIztapalapa2020-07-20041041

    Would you like to see the data cleaning notebook? You can check it in my Github

    Classification criteria

    • Recovered cases: If the patient is not dead and it has been more than 15 days then he is considered as recovered.
    • Active cases: If the patien isn't recovered an isn't dead then is active

    Time lapse

    The first documented case is on 2020-01-13. The dataset will be updated every day adding new cases

    Acknowledgements

    For this project, the data are obtained from the official URL of the government of México whose author is “Dirección General de Epidemiología”:

    Corona Virus Data: https://www.gob.mx/salud/documentos/datos-abiertos-152127

    Data Dictionary: https://www.gob.mx/salud/documentos/datos-abiertos-152127

    Differences in results

    According to the official results obtained from: https://coronavirus.gob.mx/datos/

    • The main difference between the official data and this dataset is in the recovered cases. This is because the Mexican government only considers outpatient cases when counting recovered cases. This dataset considers outpatient and inpatient cases when counting recovered people.

    • The second difference is some rows that contained nonsense information(I think this was a data collection error by the institution), these were eliminated.

  10. M

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca

    • ceicdata.com
    Updated Feb 15, 2019
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    CEICdata.com (2019). Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-oaxaca
    Explore at:
    Dataset updated
    Feb 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 6, 2022 - Aug 17, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca data was reported at 144,158.000 Person in 17 Aug 2022. This records an increase from the previous number of 143,948.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca data is updated daily, averaging 46,424.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 144,158.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 13 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Oaxaca data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. Number of Confirmed Cases are based on the state where it is reported.

  11. Mexico COVID-19 clinical data

    • kaggle.com
    zip
    Updated Jun 5, 2020
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    Mariana R Franklin (2020). Mexico COVID-19 clinical data [Dataset]. https://www.kaggle.com/datasets/marianarfranklin/mexico-covid19-clinical-data/code
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    zip(6399963 bytes)Available download formats
    Dataset updated
    Jun 5, 2020
    Authors
    Mariana R Franklin
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Mexico
    Description

    Mexico COVID-19 clinical data 🦠🇲🇽

    This dataset contains the results of real-time PCR testing for COVID-19 in Mexico as reported by the [General Directorate of Epidemiology](https://www.gob.mx/salud/documentos/datos-abiertos-152127).

    The official, raw dataset is available in the Official Secretary of Epidemiology website: https://www.gob.mx/salud/documentos/datos-abiertos-152127.

    You might also want to download the official column descriptors and the variable definitions - e.g. SEXO=1 -> Female; SEXO=2 -> Male; SEXO=99 -> Undisclosed) - in the following [zip file](http://datosabiertos.salud.gob.mx/gobmx/salud/datos_abiertos/diccionario_datos_covid19.zip). I've maintained the original levels as described in the official dataset, unless otherwise specified.

    IMPORTANT: This dataset has been maintained since the original data releases, which weren't tabular, but rather consisted of PDF files, often with many/different inconsistencies which had to be resolved carefully and is annotated in the .R script. More later datasets should be more reliable, but earlier there were a lot of things to figure out like e.g. when the official methodology to assign the region of the case was changed to be based on residence rather than origin). I've added more notes on very early data here: https://github.com/marianarf/covid19_mexico_data.

    [More official information here](https://datos.gob.mx/busca/dataset/informacion-referente-a-casos-covid-19-en-mexico/resource/e8c7079c-dc2a-4b6e-8035-08042ed37165).

    Motivation

    I hope that this data serves to as a base to understand the clinical symptoms 🔬that characterize a COVID-19 positive case from another viral respiratory disease and help expand the knowledge about COVID-19 worldwide.

    👩‍🔬🧑‍🔬🧪

    With more models tested, added features and fine-tuning, clinical data could be used to predict a patient with pending COVID-19 results will get a positive or a negative result in two scenarios:

    • As lab results are processed, this leaves a window when it's uncertain whether a result will return positive or negative (this is merely didactic, as new reports will corroborate the prediction as soon as the laboratory data for missing cases is reported).
    • More importantly, it could help predict for similar symptoms e.g. from a survey or an app that checks for similar data (ideally, containing most of the parameters that can be assessed without using variables only available after hospitalization, like e.g. age of the person which is readily available).

    The value of the lab result comes from a RT-PCR, and is stored in RESULTADO, where the original data is encoded 1 = POSITIVE and 2 = NEGATIVE.

    Source

    The data was gathered using a "sentinel model" that samples 10% of the patients that present a viral respiratory diagnosis to test for COVID-19, and consists of data reported by 475 viral respiratory disease monitoring units (hospitals) named USMER (Unidades Monitoras de Enfermedad Respiratoria Viral) throughout the country in the entire health sector (IMSS, ISSSTE, SEDENA, SEMAR, and others).

    Preprocess

    Data is first processed with this [this .R script](https://github.com/marianarf/covid19_mexico_analysis/blob/master/notebooks/preprocess.R). The file containing the processed data will be updated daily until. Important: Since the data is updated to Github, assume the data uploaded here isn't the latest version, and instead, load data directly from the 'csv' [in this github repository](https://raw.githubusercontent.com/marianarf/covid19_mexico_analysis/master/mexico_covid19.csv).

    • The data aggregates official daily reports of patients admitted in COVID-19 designated units.
    • New cases are usually concatenated at the end of the file, but each individual case also contains a unique (official) identifier 'ID_REGISTRO' as well as a (new) unique reference 'id' to remove duplicates.
    • I fixed a specific change in methodology in reporting, where the patient record used to be assigned in ENTIDAD_UM (the region of the medical unit) but now uses ENTIDAD_RES (the region of residence of the patient).
    Note: I have preserved the original structure (column names and factors) as closely as possible to the official data, so that code is reproducible in cross-reference to the official sources. ### Added features

    In addition to original features reported, I've included missing regional names and also a field 'DELAY' which corresponds to the lag in the processing lab results (since new data contains records from the previous day, this allows to keep track of this lag).

    Additional info

    ...

  12. Mexico COVID Cases

    • kaggle.com
    zip
    Updated Jul 7, 2020
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    Juan Antonio Muñoz Sánchez (2020). Mexico COVID Cases [Dataset]. https://www.kaggle.com/juanantonioms/mexico-covid-cases
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    zip(13806681 bytes)Available download formats
    Dataset updated
    Jul 7, 2020
    Authors
    Juan Antonio Muñoz Sánchez
    Area covered
    Mexico
    Description

    Dataset

    This dataset was created by Juan Antonio Muñoz Sánchez

    Contents

  13. M

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro

    • ceicdata.com
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    CEICdata.com, Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-queretaro
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 6, 2022 - Aug 17, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro data was reported at 175,142.000 Person in 17 Aug 2022. This records an increase from the previous number of 174,943.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro data is updated daily, averaging 69,521.500 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 175,142.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 10 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Queretaro data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. Number of Confirmed Cases are based on the state where it is reported.

  14. M

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Chiapas

    • ceicdata.com
    Updated Feb 15, 2019
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    CEICdata.com (2019). Mexico SALUD: COVID-19: Confirmed Cases: To Date: Chiapas [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-chiapas
    Explore at:
    Dataset updated
    Feb 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 6, 2022 - Aug 17, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Chiapas data was reported at 42,108.000 Person in 17 Aug 2022. This records an increase from the previous number of 41,936.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Chiapas data is updated daily, averaging 10,653.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 42,108.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 29 Feb 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Chiapas data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. Number of Confirmed Cases are based on the state where it is reported.

  15. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    Updated Jul 13, 2022
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    Statista (2022). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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    Dataset updated
    Jul 13, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

    The difficulties of death figures

    This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

    Where are these numbers coming from?

    The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

  16. f

    Data_Sheet_1_Evaluating the impact of mobility in COVID-19 incidence and...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Aug 4, 2022
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    Ferreyra-Reyes, Leticia; Vosburg, Kathryn Bradford; García-García, Lourdes; Canizales-Quintero, Sergio; Castañeda-Cediel, MLucía; Jiménez-Corona, María Eugenia; Mongua-Rodríguez, Norma; Méndez-Lizárraga, César Arturo; Delgado-Sánchez, Guadalupe; Bello-Chavolla, Omar Y.; Tellez-Vázquez, Norma; Ferreira-Guerrero, Edith Elizabeth (2022). Data_Sheet_1_Evaluating the impact of mobility in COVID-19 incidence and mortality: A case study from four states of Mexico.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000230028
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    Dataset updated
    Aug 4, 2022
    Authors
    Ferreyra-Reyes, Leticia; Vosburg, Kathryn Bradford; García-García, Lourdes; Canizales-Quintero, Sergio; Castañeda-Cediel, MLucía; Jiménez-Corona, María Eugenia; Mongua-Rodríguez, Norma; Méndez-Lizárraga, César Arturo; Delgado-Sánchez, Guadalupe; Bello-Chavolla, Omar Y.; Tellez-Vázquez, Norma; Ferreira-Guerrero, Edith Elizabeth
    Area covered
    Mexico
    Description

    IntroductionThe COVID-19 pandemic in Mexico began at the end of February 2020. An essential component of control strategies was to reduce mobility. We aimed to evaluate the impact of mobility on COVID- incidence and mortality rates during the initial months of the pandemic in selected states.MethodsCOVID-19 incidence data were obtained from the Open Data Epidemiology Resource provided by the Mexican government. Mobility data was obtained from the Observatory for COVID-19 in the Americas of the University of Miami. We selected four states according to their compliance with non-pharmaceutical interventions and mobility index. We constructed time series and analyzed change-points for mobility, incidence, and mortality rates. We correlated mobility with incidence and mortality rates for each time interval. Using mixed-effects Poisson models, we evaluated the impact of reductions in mobility on incidence and mortality rates, adjusting all models for medical services and the percentage of the population living in poverty.ResultsAfter the initial decline in mobility experienced in early April, a sustained increase in mobility followed during the rest of the country-wide suspension of non-essential activities and the return to other activities throughout mid-April and May. We identified that a 1% increase in mobility yielded a 5.2 and a 2.9% increase in the risk of COVID-19 incidence and mortality, respectively. Mobility was estimated to contribute 8.5 and 3.8% to the variability in incidence and mortality, respectively. In fully adjusted models, the contribution of mobility to positive COVID-19 incidence and mortality was sustained. When assessing the impact of mobility in each state compared to the state of Baja California, increased mobility conferred an increased risk of incident positive COVID-19 cases in Mexico City, Jalisco, and Nuevo León. However, for COVID-19 mortality, a differential impact of mobility was only observed with Jalisco and Nuevo León compared to Baja California.ConclusionMobility had heterogeneous impacts on COVID-19 rates in different regions of Mexico, indicating that sociodemographic characteristics and regional-level pandemic dynamics modified the impact of reductions in mobility during the COVID-19 pandemic. The implementation of non-pharmaceutical interventions should be regionalized based on local epidemiology for timely response against future pandemics.

  17. COVID-19 MX

    • kaggle.com
    zip
    Updated Jul 24, 2020
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    Eduardo Rojas (2020). COVID-19 MX [Dataset]. https://www.kaggle.com/lalish99/covid19-mx
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    zip(13811181 bytes)Available download formats
    Dataset updated
    Jul 24, 2020
    Authors
    Eduardo Rojas
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    For the historic files from 12 April 2020 check my repo: Covid-19 Mexico public information

    Context

    Official posted data from the Mexican Health Department.

    Content

    Confirmed cases -> casos_confirmados

    Suspicious cases -> casos_sospechosos

    Complete information -> covid-19_general_MX

    Acknowledgements

    Secretaría de Salud - Mexican Gobernment: covid-19_general latest published information

    historic covid-19_general

    Independent suspicious and confirmed cases files stopped being distributed by the government on April 18th 2020 I'll add them again in case they publish them.

  18. M

    Project Tycho Dataset; Counts of COVID-19 Reported In MEXICO: 2019-2021

    • catalog.midasnetwork.us
    • tycho.pitt.edu
    • +1more
    + more versions
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    MIDAS Coordination Center, Project Tycho Dataset; Counts of COVID-19 Reported In MEXICO: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/MX.840539006
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    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    Country
    Variables measured
    Viruses, disease, COVID-19, pathogen, mortality data, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, viral respiratory tract infection, and 1 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in MEXICO: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

  19. M

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Nayarit

    • ceicdata.com
    Updated Feb 15, 2019
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    CEICdata.com (2019). Mexico SALUD: COVID-19: Confirmed Cases: To Date: Nayarit [Dataset]. https://www.ceicdata.com/en/mexico/ministry-of-health-coronavirus-disease-2019-covid2019/salud-covid19-confirmed-cases-to-date-nayarit
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    Dataset updated
    Feb 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 6, 2022 - Aug 17, 2022
    Area covered
    Mexico
    Description

    Mexico SALUD: COVID-19: Confirmed Cases: To Date: Nayarit data was reported at 71,233.000 Person in 17 Aug 2022. This records an increase from the previous number of 71,161.000 Person for 16 Aug 2022. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Nayarit data is updated daily, averaging 12,041.000 Person from Feb 2020 (Median) to 17 Aug 2022, with 902 observations. The data reached an all-time high of 71,233.000 Person in 17 Aug 2022 and a record low of 0.000 Person in 20 Mar 2020. Mexico SALUD: COVID-19: Confirmed Cases: To Date: Nayarit data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table MX.D001: Ministry of Health: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Current day data is released daily between 7PM and 11PM Mexico City Time. Weekend data are updated following Monday morning, Hong Kong Time. Number of Confirmed Cases are based on the state where it is reported.

  20. Characteristics of the data sets used for the sequential calibration and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 9, 2023
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    Amna Tariq; Juan M. Banda; Pavel Skums; Sushma Dahal; Carlos Castillo-Garsow; Baltazar Espinoza; Noel G. Brizuela; Roberto A. Saenz; Alexander Kirpich; Ruiyan Luo; Anuj Srivastava; Humberto Gutierrez; Nestor Garcia Chan; Ana I. Bento; Maria-Eugenia Jimenez-Corona; Gerardo Chowell (2023). Characteristics of the data sets used for the sequential calibration and forecasting of the COVID-19 pandemic in Mexico and Mexico City (2020). [Dataset]. http://doi.org/10.1371/journal.pone.0254826.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Amna Tariq; Juan M. Banda; Pavel Skums; Sushma Dahal; Carlos Castillo-Garsow; Baltazar Espinoza; Noel G. Brizuela; Roberto A. Saenz; Alexander Kirpich; Ruiyan Luo; Anuj Srivastava; Humberto Gutierrez; Nestor Garcia Chan; Ana I. Bento; Maria-Eugenia Jimenez-Corona; Gerardo Chowell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Mexico City, Mexico
    Description

    Characteristics of the data sets used for the sequential calibration and forecasting of the COVID-19 pandemic in Mexico and Mexico City (2020).

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Statista (2025). COVID-19 cases and deaths in Mexico 2025 [Dataset]. https://www.statista.com/statistics/1107063/mexico-covid-19-cases-deaths/
Organization logo

COVID-19 cases and deaths in Mexico 2025

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Dataset updated
May 12, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 1, 2020 - May 11, 2025
Area covered
Mexico
Description

The first case of COVID-19 in Mexico was detected on March 1, 2020. By the end of the year, the total number of confirmed infections had surpassed 1.4 million. Meanwhile, the number of deaths related to the disease was nearing 148,000. On May 11, 2025, the number of cases recorded had reached 7.6 million, while the number of deaths amounted to around 335,000. The relevance of the Omicron variant Omicron, a highly contagious COVID-19 variant, was declared of concern by the World Health Organization (WHO) at the end of November 2021. As the pandemic unfolded, it became the variant with the highest share of COVID-19 cases in the world. In Latin America, countries such as Colombia, Argentina, Brazil, and Mexico were strongly affected. In fact, by 2023 nearly all analyzed sequences within these countries corresponded to an Omicron subvariant. Beyond a health crisis As the COVID-19 pandemic progressed worldwide, the respiratory disease caused by the virus SARS-CoV-2 virus first detected in Wuhan brought considerable economic consequences for countries and households. While Mexico’s gross domestic product (GDP) in current prices declined in 2020 compared to the previous year, a survey conducted among adults during the first months of 2021 showed COVID-19 impacted families mainly through finances and employment, with around one third of households in Mexico reporting an income reduction and the same proportion having at least one household member suffering from the disease.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

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